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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 2087
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    Explanations

    phrases related to urban infrastructure development

    oai_token-act-pair · gpt-3.5-turbo

    specific locations or landmarks in urban development contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ipedia
    -0.81
    nikov
    -0.78
    ledge
    -0.76
    Sov
    -0.74
    eus
    -0.74
    imony
    -0.73
    ITION
    -0.72
    anasia
    -0.72
    ERROR
    -0.72
    eat
    -0.70
    POSITIVE LOGITS
     city
    1.18
     Loop
    1.05
     area
    1.02
     vicinity
    1.02
     downtown
    1.01
     region
    0.98
     borough
    0.98
     waterfront
    0.98
     peninsula
    0.98
     Gorge
    0.97
    Activations Density 0.198%

    No Known Activations